OpenAI claim summary for Math-2561
mathematicsTop Open Problemscontributionliterature_reportClaim: literature report
Summary of a claim published in openai/math; not a claim by this platform.
Manuscript 1 (family 035, 2026-10-05): The problem selects the mathematical statement summarized here, including its stated hypotheses and parameter range. The cited theorem gives a claimed proof of that assertion in full.
Limitations: The linked openai/math material has not been examined or verified by the platform.
Manuscript
Contents
Numerical-dimension-one log abundance in characteristic above three
OpenAI's claim
For projective log-canonical threefold pairs in characteristic $p>3$, a nef rational adjoint of numerical dimension one is claimed to be semiample without terminality or factoriality assumptions. The cited manuscript argues for that result; its relation to this problem is specified below.Mathematical statement of the claimed result
Mathematical claim 1.
Over an algebraically closed field of characteristic $p>3$, take a projective log canonical threefold pair $(X,B)$ with normal $X$, effective rational $B$ and rational Cartier nef $D=K_X+B$. If for an ample Cartier $H$, \[ DH^2>0,\qquad D^2H=0, \] so $D$ has numerical dimension one, OpenAI claims $D$ semiample. This requires the stated prime range and numerical-dimension restriction.Outline of the argument
Manuscript 1 (family 035, 2026-10-05): Boundary intersection control separates components from a primitive nef cycle by quantitative bend-and-break. The resulting connected Cartier divisor meets the companion cycle-obstruction hypotheses, ruling out the remaining zero-Kodaira case and giving semiampleness.Formal verification
Family 035 has no Lean scope page in this snapshot; no formalization of these manuscript results is listed.This site has not executed the Lean files or checked their dependencies. These descriptions report the scope of the linked declarations, rather than a new verification of the proofs.
Status caveat
OpenAI attributes these results to an internal model. Its release notice cautions that results lacking full formalization can contain mistakes. This site has not independently assessed the proofs; a solved label records the scope of the reported claim.Sources
- OpenAI, Log abundance in numerical dimension one for threefolds in positive characteristic, 2026-10-05; citation key
OAI:Log-abundance-in-numerical-dimension-one-for-threefolds-in-positive-characteristic-October-5-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - OpenAI catalogue entry.